Director, Data Analyst

Warren, NJ, United States

⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️

Everest

At Everest, we underwrite opportunity for all stakeholders with protection and peace of mind in an increasingly complex and uncertain world.

View all jobs at Everest

Apply now Apply later

Title:

Director, Data Analyst

Company:

Everest Global Services, Inc.

Job Category:

Technology

Job Description:

About Everest: 
Everest Group, Ltd. (Everest), is a leading global reinsurance and insurance provider, operating for nearly 50 years through subsidiaries in North America, Latin America, the UK & Ireland, Continental Europe and Asia Pacific regions. Throughout our history, Everest has maintained its discipline and focuses on creating long-term value through underwriting excellence and strong risk and capital management. Our strengths include extensive product and distribution capabilities, a strong balance sheet, and an innovative culture. Our most critical asset is our people. We offer dynamic training & professional development to our employees. We also offer generous tuition/continuing education reimbursement programs, mentoring opportunities, flexible work arrangements, and Colleague Resource Groups. 

About the Role: 

Everest Insurance, a member of Everest Group Ltd., is seeking an experienced Director, Data Analyst with a strong background in Property & Casualty commercial insurance. The ideal candidate will have a minimum of five years of industry experience, preferably with leading carriers specializing in commercial lines. This role requires a strategic thinker who can drive enterprise-wide reporting and analytics initiatives to support business growth and portfolio management. 

Role Overview 

The Director, Data Analyst will partner with Underwriting teams and business leaders to develop Data warehouse and reporting data assets, enabling data-driven decision-making. This role demands close collaboration with IT and other functions to navigate a fast-paced, agile environment and quickly adapt to market changes. The successful candidate will leverage analytical expertise to interpret complex data, identify trends, and communicate actionable insights to senior stakeholders. 

 

Key Responsibilities 

  •  Collaborate with IT and business teams to implement scalable ETL / reporting solutions that align with Everest’s long-term strategy. 
  • Analyze business data processing problems to implement and improve systems and streamline existing processes, develop, and report on data trends, and perform data analysis. 
  • Experience working with stakeholders on projects to develop strategies and solutions, ideally related to data. 
  • Experience working with a business team to develop functional requirements and translating those into technical requirements is important. 
  • Evaluate data systems, operations, and organizational aspects of various departments, and make recommendations. 
  • Analyze large datasets and able to tell a story using statistical techniques and product knowledge to uncover trends, patterns, and actionable insights. 
  • Establish and promote Best Practices for Data analysis, Visualization, and defining KPIs (Key Performance Indicators) in collaboration with Data Governance, Operations and Technology teams. 
  • Ensure Data accuracy and integrity by validating sources and refining reporting methodologies with high degree of diligence. 
  • Develop technical requirements, mapping, and transformation specs for data engineering or analytics/reporting.  
  • Document data lineage & data quality rules to ensure integrity with data solutions and to enable effective testing.  
  • Partner with Engineering and Testing teams to help with quality build of data and reporting solutions.  

 

Qualifications 

  • Bachelor’s degree in finance, Statistics, Mathematics, Computer Science, MIS, or related fields. 
  • Minimum 10 years of experience, including 3 years in the insurance industry, with a strong understanding of financial and operational metrics. 
  • Expertise in Data Warehouse, Data Warehouse integration with other systems and Data visualization/Reporting tools (e.g., Power BI) and familiarity with Azure Cloud and Data Lake (Databricks) is a plus. 
  • Experience working with ETL tools like MS SSIS, Visual Studio, etc. 
  • Strong technical skills in SQL, Data Warehouse model and experience working with both structured and unstructured data formats (JSON, XML). 
  • Proven ability to analyze complex data, identify business impacts, and develop actionable recommendations. 
  • Excellent problem-solving and decision-making skills in a fast-paced environment. 
  • Strong communication and storytelling abilities, with the ability to present findings to senior stakeholders. 
  • Collaborative mindset, with the ability to build relationships and drive alignment across teams. 
  • Ability to manage multiple projects independently while maintaining focus on strategic goals. 

 

For CA, NY, NJ or IL: The base salary range for this position is $152,000 - $208,250 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).

What if I don’t meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn’t align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process.

 

Our Culture

At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture. 

  • Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.
  • Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.  

 

All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve. 

Type:

Regular

Time Type:

Full time

Primary Location:

Warren, NJ

Additional Locations:

Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at everestbenefits@everestglobal.com.

Everest U.S. Privacy Notice | Everest (everestglobal.com)

Apply now Apply later
Job stats:  0  0  0

Tags: Agile Azure Computer Science Data analysis Databricks Data governance Data quality Data visualization Data warehouse Engineering ETL Finance JSON KPIs Mathematics Power BI Privacy SQL SSIS Statistics Testing Unstructured data XML

Perks/benefits: 401(k) matching Career development Flex hours Flex vacation Health care Insurance Startup environment Wellness

Region: North America
Country: United States

More jobs like this